Fleak

Fleak

Fleak offers collaborative, AI-assisted ML and LLM transformations on real-time data, enabling users to ingest, transform, and deploy data quickly and efficiently.

Services

Fleak offers collaborative, AI-assisted machine learning (ML) and large language model (LLM) transformations on vast amounts of real-time data. The platform allows users to ingest and transform data in minutes, deploy transformations with a single click, and monitor in real-time for data correctness and cost efficiency. Fleak's services include advanced features like drag-and-drop, AI-assisted transformations, custom Python functions, and pre-built templates catering to various data transformation use cases.

Products

Fleak's products are designed to enable users to address multiple data transformation needs. The platform supports use cases such as data cleaning, data labeling, summarizations, sentiment analysis, customer churn prediction, natural language understanding, dynamic pricing, PR disaster prevention, personalized recommendations, real-time clickstream analysis, keyword extraction, news sentiment, fraud detection, data extraction, and translations. Fleak includes tools like version control, change logs, and testing and debugging features to ensure reliable performance.

Technology Stack

Fleak is built on top of Apache Flink, leveraging its high-performance real-time processing capabilities. The platform offers zero-configuration API support for all major infrastructures and provides options for both self-hosted and fully managed cloud deployments. Fleak's stream-native Apache Flink engine ensures extreme scalability and reliability, making it capable of handling large volumes of real-time streaming data effectively.

Deployment Options

Fleak provides flexible deployment options to suit various business needs. Users can choose between self-hosted deployments or fully managed cloud deployments. This flexibility ensures that companies can seamlessly integrate Fleak into their existing infrastructure, benefiting from real-time data processing capabilities without compromising on performance or scalability.

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